Abstract—An efficient online method of detecting the foreign fibers in lint is proposed. In this method, Look Up Table is used to reduce the time consumption of transformation from RGB color space to HSI color space effectively. Using the improved two-dimensional Otsu algorithm to segment and recognize the image of foreign fibers in Hue and Saturation of HSI color space. Experimental results show that, compared with the original two-dimensional Otsu algorithm and the fast two-dimensional Otsu algorithm, the proposed method meets the requirement of real-time and improves the accuracy effectively
With the development of computer technology, many researchers have tried to recognize the woven fabr...
Aiming at hairiness measurement, a digital image acquisition system is constructed, based on which a...
The fabric weave pattern recognition process is a structure identification process that detects the ...
International audienceThe image of lint containing foreign fiber features that the background (cotto...
AbstractIn the textile industry, it is always the case that cotton products are constitutive of many...
Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceIn the text...
International audienceTraditionally, it was hard for image segmentation to suit the cotton image seg...
Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceThe detecti...
International audienceDue to the low efficiency, large errors and other practical issues of manual s...
International audienceIn order to improve the recognition accuracy of seed cotton foreign fibers, a ...
Part 1: GIS, GPS, RS and Precision FarmingInternational audienceIn the foreign fibers cleaning proce...
Abstract — This paper presents an image segmentation method aiming at detection of foreign strands f...
This research paper focuses on the detection and classification of fabric defects supported digital ...
In order to determine whether the fibers obtained meet the processing requirements in the extraction...
International audienceThe excellent feature set or feature combination of cotton foreign fibers is g...
With the development of computer technology, many researchers have tried to recognize the woven fabr...
Aiming at hairiness measurement, a digital image acquisition system is constructed, based on which a...
The fabric weave pattern recognition process is a structure identification process that detects the ...
International audienceThe image of lint containing foreign fiber features that the background (cotto...
AbstractIn the textile industry, it is always the case that cotton products are constitutive of many...
Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceIn the text...
International audienceTraditionally, it was hard for image segmentation to suit the cotton image seg...
Part 1: Simulation, Optimization, Monitoring and Control TechnologyInternational audienceThe detecti...
International audienceDue to the low efficiency, large errors and other practical issues of manual s...
International audienceIn order to improve the recognition accuracy of seed cotton foreign fibers, a ...
Part 1: GIS, GPS, RS and Precision FarmingInternational audienceIn the foreign fibers cleaning proce...
Abstract — This paper presents an image segmentation method aiming at detection of foreign strands f...
This research paper focuses on the detection and classification of fabric defects supported digital ...
In order to determine whether the fibers obtained meet the processing requirements in the extraction...
International audienceThe excellent feature set or feature combination of cotton foreign fibers is g...
With the development of computer technology, many researchers have tried to recognize the woven fabr...
Aiming at hairiness measurement, a digital image acquisition system is constructed, based on which a...
The fabric weave pattern recognition process is a structure identification process that detects the ...